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涂层诱导的烟尘聚集体重构与初级颗粒物数之间的关系。

Relationship between Coating-Induced Soot Aggregate Restructuring and Primary Particle Number.

机构信息

Department of Mechanical Engineering, University of Alberta , Edmonton, Alberta, Canada T6G 2G8.

Department of Chemistry, University of Alberta , Edmonton, Alberta Canada T6G 2G2.

出版信息

Environ Sci Technol. 2017 Aug 1;51(15):8376-8383. doi: 10.1021/acs.est.7b01140. Epub 2017 Jul 19.

Abstract

The restructuring of monodisperse soot aggregates due to coatings of secondary organic aerosol (SOA) was investigated in a series of photo-oxidation chamber experiments. Soot aggregates were generated by one of three sources (an ethylene premixed burner, a methane inverted diffusion burner, or a diesel generator), treated by denuding, size-selected by a differential mobility analyzer, and injected into a smog chamber, where they were exposed to the photo-oxidation products of p-xylene, which partitioned to form SOA coatings. The evolution of aggregates from their initial to final morphologies was investigated in situ by mobility and mass measurements and ex situ by transmission electron microscopy. At a given initial aggregate mobility diameter, diesel aggregates are less dense and composed of smaller primary particles than those generated by the two burners, and they restructure to a smaller final mobility diameter. Remarkably, the final degrees of restructuring of aggregates from all three sources exhibit the same linear dependence on the number of primary particles per aggregate. The observed linear relationship, valid for the atmospherically relevant SOA coating investigated here, could allow modelers to predict the evolution of aggregate morphology based on a single property of the aggregates.

摘要

在一系列光氧化腔实验中研究了由于二次有机气溶胶(SOA)涂层导致的单分散烟尘聚集体的重构。烟尘聚集体由三种来源中的一种(乙烯预混合燃烧器、甲烷倒置扩散燃烧器或柴油发电机)生成,通过剥除处理,通过差分迁移率分析仪进行尺寸选择,然后注入烟雾室,在烟雾室中暴露于对二甲苯的光氧化产物,这些产物分配形成 SOA 涂层。通过迁移率和质量测量以及透射电子显微镜对聚集体从初始到最终形态的演变进行了原位和非原位研究。在给定的初始聚集体迁移率直径下,与由两个燃烧器生成的聚集体相比,柴油聚集体的密度较低且由较小的初级颗粒组成,并且它们重构为更小的最终迁移率直径。值得注意的是,所有三个来源的聚集体的最终重构程度都表现出与每个聚集体中的初级颗粒数相同的线性依赖性。这种在大气相关的 SOA 涂层中观察到的线性关系,可以使模型构建者根据聚集体的单个性质来预测聚集体形态的演变。

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